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Predicting the best daily steps from segmented school sports activities

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Document pages: 7 pages

Abstract: In order to prevent disease and healthy social and psychological development, sports activities need to be optimized in childhood. The research on how the segmented school sports activity model is related to children s optimal sports activity level is very limited. The purpose of this study was to test the predictive relationship between the number of steps at a specific school stage and the number of steps children achieve the best school (6000 steps day) and daily (12000 steps day). Participants included 1714 school-age children recruited in six primary schools (mean age = years). Use a pedometer to monitor physical activity for a week. The generalized linear mixed effect model is used to determine the corrected odds ratio (or) of school and daily life scores step count standards for every 1,000 steps taken during each school segment. The school segment that related in strongest way to a student achieving 6,000 steps during school hours was afternoon recess (OR = 40.03; ) and for achieving 12,000 steps for the entire day was lunch recess (OR = 5.03; ). School segments including lunch and afternoon recess play an important role for optimizing daily physical activity in children.

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